Use case on the car dataset

Dataset car

Machine Learning Task: Multiclass classification

The Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety. Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods.

Available at OpenML:

Category: Automotive

# Rows: 1,728 # Columns: 6

Target: class


Nominal: buying, maint, doors, persons, lug_boot, safety

Machine Learning Use Case Automotive

Cross-Entropy Loss (LOGLOSS)

Car Logloss

Accuracy (ACC)

Car Acc

Balanced Accuracy (BALACC)

Car Balacc

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